Enhanced Photodetection and Resistant Switching in CVD Grown MoS₂: A Potential Neuromorphic Photo-memristor

The rapid development of neuromorphic computing has stimulated the research of novel materials and technologies to emulate the remarkable capabilities of the human brain. Two-dimensional transition metal dichalcogenides (2D-TMDs) have become interesting options in this scenario because of their distinctive electrical and optical characteristics. For its potential use in photodetection and memristive devices, molybdenum disulfide (MoS₂) has drawn much attention among them. MoS₂ is a viable material for future neuromorphic computing systems due to its unique qualities, which include its effective light-matter interaction, atomically thin structure, and customizable electrical characteristics. To establish an approach for advancing a neuromorphic photo-memristor, we examine the few layers of growth of MoS₂ using CVD and explore the potential for boosted photodetection and resistive switching. Photoluminescence and Uv-Visible spectroscopy were used to characterize the optical characteristics of MoS₂, which demonstrated its potent excitonic emission and tunability concerning the number of atomic layers. The effective charge separation and transport in the atomically thin MoS₂ channel are responsible for the extraordinary photoresponsivity and low dark current displayed by the fabricated MoS₂ photodetectors. The enhanced photodetection performance was further demonstrated by measuring the responsivity under different light intensities (15mW to 2.85mW) and 532 nm wavelength. Additionally, the resistive switching behavior of MoS₂ was examined, which revealed potential memristive properties. The Au/ MoS₂/Au device exhibits typical bipolar switching behavior with a low working voltage, extended retention time, high resistance ratio (~103), and strong endurance (104 cycles), which has enormous potential for neuromorphic computing applications. The analysis revealed the possibility of producing energy-efficient, brain-inspired computing platforms thanks to the integration of photodetection and resistant switching in a single chip.